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Regularity of the Parameter-to-State Map of a Parabolic Partial Differential Equation

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Extraction of Quantifiable Information from Complex Systems

Abstract

In this paper, we present results that have been obtained in the DFG-SPP project “Adaptive Wavelet Frame Methods for Operator Equations: Sparse Grids, Vector-Valued Spaces and Applications to Nonlinear Inverse Problems”. This project has been concerned with (nonlinear) elliptic and parabolic operator equations on nontrivial domains as well as with related inverse parameter identification problems. In this paper we study analytic properties of the underlying parameter-to-state map, which is motivated by a parabolic model for the embryonal development of drosophila melanogaster.

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References

  1. Appell, J., Zabrejko, P.: Nonlinear Superposition Operators. Cambridge University Press, Cambridge, UK (1990)

    Book  MATH  Google Scholar 

  2. Arendt, W., Chill, R., Fornaro, S., Poupaud, C.: L p -maximal regularity for non-autonomous evolution equations. J. Differ. Equ. 237, 1–26 (2007)

    Article  MATH  MathSciNet  Google Scholar 

  3. Berberian, S., Lectures in Functional Analysis and Operator Theory. Springer, New York/Heidelberg/Berlin (1974)

    Book  MATH  Google Scholar 

  4. Bredies, K., Bonesky, T., Lorenz, D., Maass, P., A generalized conditional gradient method for non-linear operator equations with sparsity constraints. Inverse Probl. 23, 2041–2058 (2007)

    Article  MATH  MathSciNet  Google Scholar 

  5. Chegini, N., Dahlke, S., Friedrich, U., Stevenson, R.: Piecewise tensor product wavelet bases by extension and approximation rates. In: S. Dahlke et al. (eds.), Extraction of Quantifiable Information from Complex Systems, Lecture Notes in Computational Science and Engineering 102, doi: 10.1007/978-3-319-08159-5_3 (2014)

    Google Scholar 

  6. Cohen, A.: Numerical Analysis of Wavelet Methods. Studies in Mathematics and Its Applications, vol. 32, 1st edn. Elsevier, Amsterdam (2003)

    Google Scholar 

  7. Evans, L.C.: Partial Differential Equations. American Mathematical Society, Providence (2008)

    Google Scholar 

  8. Grasmair, M., Haltmeier, M., Scherzer, O.: Sparse regularization with l q penalty term. Inverse Probl. 24, 055020 (2008)

    Article  MathSciNet  Google Scholar 

  9. Haller-Dintelmann, R., Rehberg, J.: Maximal parabolic regularity for divergence operators including mixed boundary conditions. J. Differ. Equ. 247, 1354–1396 (2009)

    Article  MATH  MathSciNet  Google Scholar 

  10. Jin, B., Maass, P.: A reconstruction algorithm for electrical impedance tomography based on sparsity regularization. ESAIM: Control Optim. Calc. Var. 18(4), 1027–1048 (2012)

    Article  MATH  MathSciNet  Google Scholar 

  11. Jin, B., Maass, P.: Sparsity regularization for parameter identification problems. Inverse Probl. 28, 123001 (2012)

    Article  MathSciNet  Google Scholar 

  12. Mjolsness, E., Sharp, D., Reinitz, J.: A connectionist model of development. J. Theor. Biol. 152, 429–453 (1991)

    Article  Google Scholar 

  13. Reinitz, J., Sharp, D.: Mechanism of eve stripe formation. Mech. Dev. 49, 133–158 (1995)

    Article  Google Scholar 

  14. Ressel, R.: A parameter identification problem for a nonlinear parabolic differential equation, PhD-Thesis (Bremen) (2012)

    Google Scholar 

  15. Rondi, L., Santosa, F.: Enhanced electrical impedance tomography via the Mumford-Shah functional. ESAIM, Control Optim. Calc. Var. 6, 517–538 (2001)

    Google Scholar 

  16. Runst, T., Sickel, W.: Sobolev Spaces of Fractional Order, Nemytskij Operators, and Nonlinear Partial Differential Equations. deGruyter, Berlin (1996)

    Google Scholar 

  17. Showalter, R.E.: Monotone Operators in Banach Space and Nonlinear Partial Differential Equations. Mathematical Surveys and Monographs, vol. 49. American Mathematical Society, Providence (1997)

    Google Scholar 

  18. Triebel, H., Interpolation Theory, Function Spaces, Differential Operators. Johann Ambrosius Barth Verlag, Heidelberg (1995)

    MATH  Google Scholar 

  19. Werner, D., Funktionalanalysis. Springer, Berlin/Heidelberg (2000)

    MATH  Google Scholar 

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Correspondence to Rudolf Ressel .

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Ressel, R., Dülk, P., Dahlke, S., Kazimierski, K.S., Maass, P. (2014). Regularity of the Parameter-to-State Map of a Parabolic Partial Differential Equation. In: Dahlke, S., et al. Extraction of Quantifiable Information from Complex Systems. Lecture Notes in Computational Science and Engineering, vol 102. Springer, Cham. https://doi.org/10.1007/978-3-319-08159-5_3

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